Journal of Jilin University(Engineering and Technology Edition) ›› 2021, Vol. 51 ›› Issue (1): 285-292.doi: 10.13229/j.cnki.jdxbgxb20190831

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Face pencil drawing algorithms based on generative adversarial network

Xiao-yu WANG(),Xin-hao HU,Chang-lin HAN   

  1. School of Computer Science and Technology，Harbin University of Science and Technology，Harbin 150080，China
  • Received:2019-08-22 Online:2021-01-01 Published:2021-01-20

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Abstract:

In order to make pencil drawings more artistic and retain the structure of the original face images， a method of transforming real face images into pencil-style images by Generating Antagonistic Networks is proposed. Generation Network generates face pencil drawing images by convolution， and Antagonistic Network is used to learn the distribution of artist's real face pencil drawing paintings. The distance deviation is optimized and the loss of detail control is added. The experimental results show that the face pencil drawing images generated by this method is more flexible and artistic.

Key words: computer application, pencil drawing, generating antagonistic network, Was distance, cyclic consistency

CLC Number: 

  • TP391.4

Fig.1

Defect of cycle consistency"

Fig.2

Structural diagram of generator"

Fig.3

Structural diagram of discriminator"

Fig.4

Comparison of three functions"

Fig.5

Experimental results"

Fig.6

Contrast result"

Fig.7

Contrast result"

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